Python Axes.bar方法代碼示例

# 需要導入模塊: from matplotlib.axes import Axes [as 別名]
# 或者: from matplotlib.axes.Axes import bar [as 別名]
def bar(left, height, width=0.8, bottom=None, hold=None, **kwargs):
    ax = gca()
    # allow callers to override the hold state by passing hold=True|False
    washold = ax.ishold()

    if hold is not None:
        ax.hold(hold)
    try:
        ret = ax.bar(left, height, width=width, bottom=bottom, **kwargs)
        draw_if_interactive()
    finally:
        ax.hold(washold)

    return ret

# This function was autogenerated by boilerplate.py.  Do not edit as
# changes will be lost 

# 需要導入模塊: from matplotlib.axes import Axes [as 別名]
# 或者: from matplotlib.axes.Axes import bar [as 別名]
def hist(x, bins=10, range=None, normed=False, weights=None, cumulative=False,
         bottom=None, histtype='bar', align='mid', orientation='vertical',
         rwidth=None, log=False, color=None, label=None, stacked=False,
         hold=None, **kwargs):
    ax = gca()
    # allow callers to override the hold state by passing hold=True|False
    washold = ax.ishold()

    if hold is not None:
        ax.hold(hold)
    try:
        ret = ax.hist(x, bins=bins, range=range, normed=normed,
                      weights=weights, cumulative=cumulative, bottom=bottom,
                      histtype=histtype, align=align, orientation=orientation,
                      rwidth=rwidth, log=log, color=color, label=label,
                      stacked=stacked, **kwargs)
        draw_if_interactive()
    finally:
        ax.hold(washold)

    return ret

# This function was autogenerated by boilerplate.py.  Do not edit as
# changes will be lost 

# 需要導入模塊: from matplotlib.axes import Axes [as 別名]
# 或者: from matplotlib.axes.Axes import bar [as 別名]
def bar(*args, **kwargs):
    ax = gca()
    # Deprecated: allow callers to override the hold state
    # by passing hold=True|False
    washold = ax._hold
    hold = kwargs.pop('hold', None)
    if hold is not None:
        ax._hold = hold
        from matplotlib.cbook import mplDeprecation
        warnings.warn("The 'hold' keyword argument is deprecated since 2.0.",
                      mplDeprecation)
    try:
        ret = ax.bar(*args, **kwargs)
    finally:
        ax._hold = washold

    return ret

# Autogenerated by boilerplate.py.  Do not edit as changes will be lost. 

# 需要導入模塊: from matplotlib.axes import Axes [as 別名]
# 或者: from matplotlib.axes.Axes import bar [as 別名]
def test_degenerate_inputs(ax):
    empty_container = ax.bar([], [])
    assert not mplcursors.cursor().artists
    assert not mplcursors.cursor(empty_container).artists
    pytest.raises(TypeError, mplcursors.cursor, [1]) 

# 需要導入模塊: from matplotlib.axes import Axes [as 別名]
# 或者: from matplotlib.axes.Axes import bar [as 別名]
def test_convenience(ax):
    l, = ax.plot([1, 2])
    assert len(mplcursors.cursor().artists) == 1
    assert len(mplcursors.cursor(ax).artists) == 1
    assert len(mplcursors.cursor(l).artists) == 1
    assert len(mplcursors.cursor([l]).artists) == 1
    bc = ax.bar(range(3), range(3))
    assert len(mplcursors.cursor(bc).artists) == 1 

# 需要導入模塊: from matplotlib.axes import Axes [as 別名]
# 或者: from matplotlib.axes.Axes import bar [as 別名]
def bar(
        x, height, width=0.8, bottom=None, *, align='center',
        data=None, **kwargs):
    return gca().bar(
        x=x, height=height, width=width, bottom=bottom, align=align,
        data=data, **kwargs)

# Autogenerated by boilerplate.py.  Do not edit as changes will be lost. 

# 需要導入模塊: from matplotlib.axes import Axes [as 別名]
# 或者: from matplotlib.axes.Axes import bar [as 別名]
def hist(
        x, bins=None, range=None, density=None, weights=None,
        cumulative=False, bottom=None, histtype='bar', align='mid',
        orientation='vertical', rwidth=None, log=False, color=None,
        label=None, stacked=False, normed=None, *, data=None,
        **kwargs):
    return gca().hist(
        x=x, bins=bins, range=range, density=density, weights=weights,
        cumulative=cumulative, bottom=bottom, histtype=histtype,
        align=align, orientation=orientation, rwidth=rwidth, log=log,
        color=color, label=label, stacked=stacked, normed=normed,
        data=data, **kwargs)

# Autogenerated by boilerplate.py.  Do not edit as changes will be lost. 

# 需要導入模塊: from matplotlib.axes import Axes [as 別名]
# 或者: from matplotlib.axes.Axes import bar [as 別名]
def bar(
        x, height, width=0.8, bottom=None, *, align='center',
        data=None, **kwargs):
    return gca().bar(
        x, height, width=width, bottom=bottom, align=align,
        **({"data": data} if data is not None else {}), **kwargs)


# Autogenerated by boilerplate.py.  Do not edit as changes will be lost. 

# 需要導入模塊: from matplotlib.axes import Axes [as 別名]
# 或者: from matplotlib.axes.Axes import bar [as 別名]
def hist(
        x, bins=None, range=None, density=None, weights=None,
        cumulative=False, bottom=None, histtype='bar', align='mid',
        orientation='vertical', rwidth=None, log=False, color=None,
        label=None, stacked=False, normed=None, *, data=None,
        **kwargs):
    return gca().hist(
        x, bins=bins, range=range, density=density, weights=weights,
        cumulative=cumulative, bottom=bottom, histtype=histtype,
        align=align, orientation=orientation, rwidth=rwidth, log=log,
        color=color, label=label, stacked=stacked, normed=normed,
        **({"data": data} if data is not None else {}), **kwargs)


# Autogenerated by boilerplate.py.  Do not edit as changes will be lost. 

# 需要導入模塊: from matplotlib.axes import Axes [as 別名]
# 或者: from matplotlib.axes.Axes import bar [as 別名]
def hist(x, bins=None, range=None, density=None, weights=None, cumulative=False,
         bottom=None, histtype='bar', align='mid', orientation='vertical',
         rwidth=None, log=False, color=None, label=None, stacked=False,
         normed=None, hold=None, data=None, **kwargs):
    ax = gca()
    # Deprecated: allow callers to override the hold state
    # by passing hold=True|False
    washold = ax._hold

    if hold is not None:
        ax._hold = hold
        from matplotlib.cbook import mplDeprecation
        warnings.warn("The 'hold' keyword argument is deprecated since 2.0.",
                      mplDeprecation)
    try:
        ret = ax.hist(x, bins=bins, range=range, density=density,
                      weights=weights, cumulative=cumulative, bottom=bottom,
                      histtype=histtype, align=align, orientation=orientation,
                      rwidth=rwidth, log=log, color=color, label=label,
                      stacked=stacked, normed=normed, data=data, **kwargs)
    finally:
        ax._hold = washold

    return ret

# Autogenerated by boilerplate.py.  Do not edit as changes will be lost. 

# 需要導入模塊: from matplotlib.axes import Axes [as 別名]
# 或者: from matplotlib.axes.Axes import bar [as 別名]
def bar(self, left, height, zs=0, zdir='z', *args, **kwargs):
        '''
        Add 2D bar(s).

        ==========  ================================================
        Argument    Description
        ==========  ================================================
        *left*      The x coordinates of the left sides of the bars.
        *height*    The height of the bars.
        *zs*        Z coordinate of bars, if one value is specified
                    they will all be placed at the same z.
        *zdir*      Which direction to use as z ('x', 'y' or 'z')
                    when plotting a 2D set.
        ==========  ================================================

        Keyword arguments are passed onto :func:`~matplotlib.axes.Axes.bar`.

        Returns a :class:`~mpl_toolkits.mplot3d.art3d.Patch3DCollection`
        '''

        had_data = self.has_data()

        patches = Axes.bar(self, left, height, *args, **kwargs)

        if not cbook.iterable(zs):
            zs = np.ones(len(left)) * zs

        verts = []
        verts_zs = []
        for p, z in zip(patches, zs):
            vs = art3d.get_patch_verts(p)
            verts += vs.tolist()
            verts_zs += [z] * len(vs)
            art3d.patch_2d_to_3d(p, z, zdir)
            if 'alpha' in kwargs:
                p.set_alpha(kwargs['alpha'])

        if len(verts) > 0 :
            # the following has to be skipped if verts is empty
            # NOTE: Bugs could still occur if len(verts) > 0,
            #       but the "2nd dimension" is empty.
            xs, ys = zip(*verts)
        else :
            xs, ys = [], []

        xs, ys, verts_zs = art3d.juggle_axes(xs, ys, verts_zs, zdir)
        self.auto_scale_xyz(xs, ys, verts_zs, had_data)

        return patches 

# 需要導入模塊: from matplotlib.axes import Axes [as 別名]
# 或者: from matplotlib.axes.Axes import bar [as 別名]
def bar(self, left, height, zs=0, zdir='z', *args, **kwargs):
        '''
        Add 2D bar(s).

        ==========  ================================================
        Argument    Description
        ==========  ================================================
        *left*      The x coordinates of the left sides of the bars.
        *height*    The height of the bars.
        *zs*        Z coordinate of bars, if one value is specified
                    they will all be placed at the same z.
        *zdir*      Which direction to use as z ('x', 'y' or 'z')
                    when plotting a 2D set.
        ==========  ================================================

        Keyword arguments are passed onto :func:`~matplotlib.axes.Axes.bar`.

        Returns a :class:`~mpl_toolkits.mplot3d.art3d.Patch3DCollection`
        '''

        had_data = self.has_data()

        patches = Axes.bar(self, left, height, *args, **kwargs)

        if not cbook.iterable(zs):
            zs = np.ones(len(left)) * zs

        verts = []
        verts_zs = []
        for p, z in zip(patches, zs):
            vs = art3d.get_patch_verts(p)
            verts += vs.tolist()
            verts_zs += [z] * len(vs)
            art3d.patch_2d_to_3d(p, z, zdir)
            if 'alpha' in kwargs:
                p.set_alpha(kwargs['alpha'])

        if len(verts) > 0 :
            # the following has to be skipped if verts is empty
            # NOTE: Bugs could still occur if len(verts) > 0,
            #       but the "2nd dimension" is empty.
            xs, ys = list(zip(*verts))
        else :
            xs, ys = [], []

        xs, ys, verts_zs = art3d.juggle_axes(xs, ys, verts_zs, zdir)
        self.auto_scale_xyz(xs, ys, verts_zs, had_data)

        return patches